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Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received September 30, 2002
Accepted August 8, 2003

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Application of Partial Least Squares Methods to a Terephthalic Acid Manufacturing Process for Product Quality Control

In-Su Han Minjin Kim Chang-Hyun Lee¹ Woonou Cha¹ Byoung-Kyoung Ham² Jy-Hyo Jeong² Haksoo Lee² Chang-Bock Chung³ Chonghun Han^†

Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk 790-784, Korea ¹e-Management Team, SK Chemicals, Suwon, Gyeonggi 440-745, Korea ²Petrochemical Production Team, SK Chemicals, Ulsan 680-160, Korea ³Faculty of Chemical Engineering, Chonnam National University, Gwangju 500-757, Korea

chan@postech.ac.kr

Korean Journal of Chemical Engineering, November 2003, 20(6), 977-984(8), 10.1007/BF02706925

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Abstract

This paper deals with an application of partial least squares (PLS) methods to an industrial terephthalic acid (TPA) manufacturing process to identify and remove the major causes of variability in the product quality. Multivariate statistical analyses were performed to find the major causes of variability in the product quality, using the PLS models built from historical data measured on the process and quality variables. It was found from the PLS analyses that the variations in the catalyst concentrations and the process throughput significantly affect the product quality, and that the quality variations are propagated from the oxidation unit to the digestion units of the TPA process. A simulation-based approach was addressed to roughly estimate the effects of eliminating the major causes on the product quality using the PLS models. Based on the results that considerable amounts of the variations in the product quality could be reduced, we have proposed practical approaches for removing the major causes of product quality variations in the TPA manufacturing process.

Keywords

Terephthalic Acid Partial Least Squares (PLS) Quality Control Empirical Modeling Multivariate Analysis

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